Zihao Wu

According to our database, Zihao Wu authored at least 96 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems.

Sohan Shankar, Yi Pan, Hanqi Jiang, Zhengliang Liu, Mohammad R. Darbandi, Agustin Lorenzo, Junhao Chen, Md Mehedi Hasan, Arif Hassan Zidan, Eliana Gelman, Joshua A. Konfrst, Jillian Y. Russell, Katelyn Fernandes, Tianze Yang, Yiwei Li, Huaqin Zhao, Afrar Jahin, Triparna Ganguly, Shair Dinesha, Yifan Zhou, Zihao Wu, Xinliang Li, Lokesh Adusumilli, Aziza Hussein, Sagar Nookarapu, Jixin Hou, Kun Jiang, Jiaxi Li, Brenden Heinel, XianShen Xi, Hailey Hubbard, Zayna Khan, Levi Whitaker, Ivan Cao, Max Allgaier, Andrew Darby, Lin Zhao, Lu Zhang, Xiaoqiao Wang, Xiang Li, Wei Zhang, Xiaowei Yu, Dajiang Zhu, Yohannes Abate, Tianming Liu

CoRR, July, 2025

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.

Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Zhengliang Liu, Lin Zhao, Yiwei Li, Haixing Dai, Chong Ma, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu

IEEE Trans. Big Data, June, 2025

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications.

Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li

IEEE Trans. Big Data, June, 2025

AugGPT: Leveraging ChatGPT for Text Data Augmentation.

Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Yihan Cao, Zihao Wu, Lin Zhao, Shaochen Xu, Fang Zeng, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Lichao Sun, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li

IEEE Trans. Big Data, June, 2025

Mask-Guided Vision Transformer for Few-Shot Learning.

Yuzhong Chen, Zhenxiang Xiao, Yi Pan, Lin Zhao, Haixing Dai, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang

IEEE Trans. Neural Networks Learn. Syst., May, 2025

A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers.

Yuzhong Chen, Zhenxiang Xiao, Yu Du, Lin Zhao, Lu Zhang, Zihao Wu, Dajiang Zhu, Tuo Zhang, Dezhong Yao, Xintao Hu, Tianming Liu, Xi Jiang

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Large Language Models for Bioinformatics.

Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

CoRR, January, 2025

Decoding cortical folding patterns in marmosets using machine learning and large language model.

Yue Wu, Xuesong Gao, Zhengliang Liu, Pengcheng Wang, Zihao Wu, Yiwei Li, Tuo Zhang, Tianming Liu, Tao Liu, Xiao Li

NeuroImage, 2025

Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer.

Lu Zhang, Zhengwang Wu, Xiaowei Yu, Yanjun Lyu, Zihao Wu, Haixing Dai, Lin Zhao, Li Wang, Gang Li, Xianqiao Wang, Tianming Liu, Dajiang Zhu

Medical Image Anal., 2025

Understanding LLMs: A comprehensive overview from training to inference.

Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge

Neurocomputing, 2025

EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis.

Yi Pan, Hanqi Jiang, Junhao Chen, Yiwei Li, Huaqin Zhao, Yifan Zhou, Peng Shu, Zihao Wu, Zhengliang Liu, Dajiang Zhu, Xiang Li, Yohannes Abate, Tianming Liu

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

ECHOPulse: ECG Controlled Echocardio-gram Video Generation.

Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, Xiang Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

CE-GAN: Community Evolutionary Generative Adversarial Network for Alzheimer's Disease Risk Prediction.

Xia-An Bi, Zicheng Yang, YangJun Huang, Zhao-Xu Xing, Luyun Xu, Zihao Wu, Zhengliang Liu, Xiang Li, Tianming Liu

IEEE Trans. Medical Imaging, November, 2024

An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT.

Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Fang Zeng, Xi Jiang, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li

IEEE Trans. Artif. Intell., August, 2024

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations.

Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu

IEEE Trans. Cogn. Dev. Syst., April, 2024

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.

Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang

Inf. Fusion, April, 2024

Mask-guided BERT for few-shot text classification.

Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, David Liu, Dajiang Zhu, Sheng Li, Wei Liu, Tianming Liu, Quanzheng Li, Hongmin Cai, Xiang Li

Neurocomputing, 2024

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios.

Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu

CoRR, 2024

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation.

Peng Shu, Junhao Chen, Zhengliang Liu, Hui Wang, Zihao Wu, Tianyang Zhong, Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Yifan Zhou, Constance Owl, Xiaoming Zhai, Ninghao Liu, Claudio Saunt, Tianming Liu

CoRR, 2024

Large Language Models for Manufacturing.

Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Zhengliang Liu, Zihao Wu, Peng Shu, Jie Tian, Tianze Yang, Shaochen Xu, Yanjun Lyu, Parker Blenk, Jacob Pence, Jason Rupram, Eliza Banu, Ninghao Liu, Linbing Wang, Wen-Zhan Song, Xiaoming Zhai, Kenan Song, Dajiang Zhu, Beiwen Li, Xianqiao Wang, Tianming Liu

CoRR, 2024

A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education.

Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nayaaba, Gyeong-Geon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai

CoRR, 2024

Brain-like Functional Organization within Large Language Models.

Haiyang Sun, Lin Zhao, Zihao Wu, Xiaohui Gao, Yutao Hu, Mengfei Zuo, Wei Zhang, Junwei Han, Tianming Liu, Xintao Hu

CoRR, 2024

ECHOPulse: ECG controlled echocardio-grams video generation.

Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Tianming Liu, Quanzheng Li, Xiang Li

CoRR, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.

Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu

CoRR, 2024

HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning.

Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang

CoRR, 2024

GP-GPT: Large Language Model for Gene-Phenotype Mapping.

Yanjun Lyu, Zihao Wu, Lu Zhang, Jing Zhang, Yiwei Li, Wei Ruan, Zhengliang Liu, Xiaowei Yu, Chao Cao, Tong Chen, Minheng Chen, Yan Zhuang, Xiang Li, Rongjie Liu, Chao Huang, Wentao Li, Tianming Liu, Dajiang Zhu

CoRR, 2024

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery.

Zhenyuan Yang, Xuhui Lin, Qinyi He, Ziye Huang, Zhengliang Liu, Hanqi Jiang, Peng Shu, Zihao Wu, Yiwei Li, Stephen Law, Gengchen Mai, Tianming Liu, Tao Yang

CoRR, 2024

MGH Radiology Llama: A Llama 3 70B Model for Radiology.

Yucheng Shi, Peng Shu, Zhengliang Liu, Zihao Wu, Quanzheng Li, Xiang Li

CoRR, 2024

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.

Jiaqi Wang, Hanqi Jiang, Yiheng Liu, Chong Ma, Xu Zhang, Yi Pan, Mengyuan Liu, Peiran Gu, Sichen Xia, Wenjun Li, Yutong Zhang, Zihao Wu, Zhengliang Liu, Tianyang Zhong, Bao Ge, Tuo Zhang, Ning Qiang, Xintao Hu, Xi Jiang, Xin Zhang, Wei Zhang, Dinggang Shen, Tianming Liu, Shu Zhang

CoRR, 2024

Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding.

Heng Huang, Lin Zhao, Zihao Wu, Xiaowei Yu, Jing Zhang, Xintao Hu, Dajiang Zhu, Tianming Liu

CoRR, 2024

Eye-gaze Guided Multi-modal Alignment Framework for Radiology.

Chong Ma, Hanqi Jiang, Wenting Chen, Zihao Wu, Xiaowei Yu, Fang Zeng, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li

CoRR, 2024

ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping.

Yiwei Li, Zihao Wu, Huaqin Zhao, Tianze Yang, Zhengliang Liu, Peng Shu, Jin Sun, Ramviyas Parasuraman, Tianming Liu

CoRR, 2024

Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis.

Shaochen Xu, Zihao Wu, Huaqin Zhao, Peng Shu, Zhengliang Liu, Wenxiong Liao, Sheng Li, Andrea Sikora, Tianming Liu, Xiang Li

CoRR, 2024

LLMs for Coding and Robotics Education.

Peng Shu, Huaqin Zhao, Hanqi Jiang, Yiwei Li, Shaochen Xu, Yi Pan, Zihao Wu, Zhengliang Liu, Guoyu Lu, Le Guan, Gong Chen, Xianqiao Wang, Tianming Liu

CoRR, 2024

Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding.

Jie Tian, Jixin Hou, Zihao Wu, Peng Shu, Zhengliang Liu, Yujie Xiang, Beikang Gu, Nicholas Filla, Yiwei Li, Ning Liu, Xianyan Chen, Keke Tang, Tianming Liu, Xianqiao Wang

CoRR, 2024

Revolutionizing Finance with LLMs: An Overview of Applications and Insights.

Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Gengchen Mai, Ninghao Liu, Tianming Liu

CoRR, 2024

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.

Jiaqi Wang, Zihao Wu, Yiwei Li, Hanqi Jiang, Peng Shu, Enze Shi, Huawen Hu, Chong Ma, Yiheng Liu, Xuhui Wang, Yincheng Yao, Xuan Liu, Huaqin Zhao, Zhengliang Liu, Haixing Dai, Lin Zhao, Bao Ge, Xiang Li, Tianming Liu, Shu Zhang

CoRR, 2024

An innovative segment anything model for precision poultry monitoring.

Xiao Yang, Haixing Dai, Zihao Wu, Ramesh Bist, Sachin Subedi, Jin Sun, Guoyu Lu, Changying Li, Tianming Liu, Lilong Chai

Comput. Electron. Agric., 2024

Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines.

Hui Wang, Anh Dang, Zihao Wu, Son Mac

Comput. Educ. Artif. Intell., 2024

Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices.

Zhihao Shu, Xiaowei Yu, Zihao Wu, Wenqi Jia, Yinchen Shi, Miao Yin, Tianming Liu, Dajiang Zhu, Wei Niu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning.

Chong Ma, Hanqi Jiang, Wenting Chen, Yiwei Li, Zihao Wu, Xiaowei Yu, Zhengliang Liu, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis.

Xiaowei Yu, Zihao Wu, Lu Zhang, Jing Zhang, Yanjun Lyu, Dajiang Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

A generic framework for embedding human brain function with temporally correlated autoencoder.

Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Xintao Hu, Tuo Zhang, Dajiang Zhu, Tianming Liu

Medical Image Anal., October, 2023

Digital Twin (DT)-CycleGAN: Enabling Zero-Shot Sim-to-Real Transfer of Visual Grasping Models.

David Liu, Yuzhong Chen, Zihao Wu

IEEE Robotics Autom. Lett., May, 2023

Digital Twin (DT)-CycleGAN: Enabling Zero-Shot Sim-to-Real Transfer of Visual Grasping Models.

David Liu, Yuzhong Chen, Zihao Wu

Dataset, March, 2023

An automatic classifier for monitoring applied behaviors of cage-free laying hens with deep learning.

Xiao Yang, Ramesh Bist, Sachin Subedi, Zihao Wu, Tianming Liu, Lilong Chai

Eng. Appl. Artif. Intell., 2023

On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications.

Chenjiao Tan, Qian Cao, Yiwei Li, Jielu Zhang, Xiao Yang, Huaqin Zhao, Zihao Wu, Zhengliang Liu, Hao Yang, Nemin Wu, Tao Tang, Xinyue Ye, Lilong Chai, Ninghao Liu, Changying Li, Lan Mu, Tianming Liu, Gengchen Mai

CoRR, 2023

Multimodality of AI for Education: Towards Artificial General Intelligence.

Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zihao Wu, Zhengliang Liu, Hui Wang, Gengchen Mai, Tiaming Liu, Xiaoming Zhai

CoRR, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.

Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu

CoRR, 2023

Ophtha-LLaMA2: A Large Language Model for Ophthalmology.

Huan Zhao, Qian Ling, Yi Pan, Tianyang Zhong, Jinyu Hu, Junjie Yao, Fengqian Xiao, Zhenxiang Xiao, Yutong Zhang, San-Hua Xu, Shi-Nan Wu, Min Kang, Zihao Wu, Zhengliang Liu, Xi Jiang, Tianming Liu, Yi Shao

CoRR, 2023

Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions.

Xinyu Gong, Jason Holmes, Yiwei Li, Zhengliang Liu, Qi Gan, Zihao Wu, Jianli Zhang, Yusong Zou, Yuxi Teng, Tian Jiang, Hongtu Zhu, Wei Liu, Tianming Liu, Yajun Yan

CoRR, 2023

Evaluating Large Language Models in Ophthalmology.

Jason Holmes, Shuyuan Ye, Yiwei Li, Shi-Nan Wu, Zhengliang Liu, Zihao Wu, Jinyu Hu, Huan Zhao, Xi Jiang, Wei Liu, Hong Wei, Jie Zou, Tianming Liu, Yi Shao

CoRR, 2023

Evaluating multiple large language models in pediatric ophthalmology.

Jason Holmes, Rui Peng, Yiwei Li, Jinyu Hu, Zhengliang Liu, Zihao Wu, Huan Zhao, Xi Jiang, Wei Liu, Hong Wei, Jie Zou, Tianming Liu, Yi Shao

CoRR, 2023

Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities.

Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, Tianming Liu

CoRR, 2023

DT/MARS-CycleGAN: Improved Object Detection for MARS Phenotyping Robot.

David Liu, Zhengkun Li, Zihao Wu, Changying Li

CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.

Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang

CoRR, 2023

PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models.

Chenhao Tang, Zhengliang Liu, Chong Ma, Zihao Wu, Yiwei Li, Wei Liu, Dajiang Zhu, Quanzheng Li, Xiang Li, Tianming Liu, Lei Fan

CoRR, 2023

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.

Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song

CoRR, 2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.

Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, Xiang Li

CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.

Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu

CoRR, 2023

CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study.

Zihan Guan, Zihao Wu, Zhengliang Liu, Dufan Wu, Hui Ren, Quanzheng Li, Xiang Li, Ninghao Liu

CoRR, 2023

PharmacyGPT: The AI Pharmacist.

Zhengliang Liu, Zihao Wu, Mengxuan Hu, Bokai Zhao, Lin Zhao, Tianyi Zhang, Haixing Dai, Xianyan Chen, Ye Shen, Sheng Li, Brian Murray, Tianming Liu, Andrea Sikora

CoRR, 2023

Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification.

Haixing Dai, Lu Zhang, Lin Zhao, Zihao Wu, Zhengliang Liu, David Liu, Xiaowei Yu, Yanjun Lyu, Changying Li, Ninghao Liu, Tianming Liu, Dajiang Zhu

CoRR, 2023

Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data.

Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li

CoRR, 2023

SAMAug: Point Prompt Augmentation for Segment Anything Model.

Haixing Dai, Chong Ma, Zhengliang Liu, Yiwei Li, Peng Shu, Xiaozheng Wei, Lin Zhao, Zihao Wu, Dajiang Zhu, Wei Liu, Quanzheng Li, Tianming Liu, Xiang Li

CoRR, 2023

Review of Large Vision Models and Visual Prompt Engineering.

Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang

CoRR, 2023

Segment Anything Model (SAM) for Radiation Oncology.

Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, Dajiang Zhu, Tianming Liu, Wei Liu

CoRR, 2023

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology.

Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Angela Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu

CoRR, 2023

Radiology-GPT: A Large Language Model for Radiology.

Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Xiang Li, Quanzheng Li, Tianming Liu

CoRR, 2023

Artificial General Intelligence for Medical Imaging.

Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkuan Yan, Quanzheng Li, Wei Liu, Tianming Liu, Dinggang Shen

CoRR, 2023

SAM for Poultry Science.

Xiao Yang, Haixing Dai, Zihao Wu, Ramesh Bist, Sachin Subedi, Jin Sun, Guoyu Lu, Changying Li, Tianming Liu, Lilong Chai

CoRR, 2023

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.

Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Tianming Liu, Xi Jiang

CoRR, 2023

Prompt Engineering for Healthcare: Methodologies and Applications.

Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang

CoRR, 2023

Differentiate ChatGPT-generated and Human-written Medical Texts.

Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Tianming Liu, Xiang Li

CoRR, 2023

ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT.

Tianyang Zhong, Yaonai Wei, Li Yang, Zihao Wu, Zhengliang Liu, Xiaozheng Wei, Wenjun Li, Junjie Yao, Chong Ma, Xiang Li, Dajiang Zhu, Xi Jiang, Junwei Han, Dinggang Shen, Tianming Liu, Tuo Zhang

CoRR, 2023

CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network.

Lin Zhao, Haixing Dai, Zihao Wu, Dajiang Zhu, Tianming Liu

CoRR, 2023

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.

Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu

CoRR, 2023

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT.

Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li

CoRR, 2023

Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models.

Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Dajiang Zhu, Xiang Li, Ning Qiang, Dinggang Shen, Tianming Liu, Bao Ge

CoRR, 2023

When Brain-inspired AI Meets AGI.

Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, Xiang Li, Dajiang Zhu, Dinggang Shen, Tianming Liu

CoRR, 2023

Core-Periphery Principle Guided Redesign of Self-Attention in Transformers.

Xiaowei Yu, Lu Zhang, Haixing Dai, Yanjun Lyu, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Dajiang Zhu

CoRR, 2023

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4.

Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, Xiang Li

CoRR, 2023

ChatAug: Leveraging ChatGPT for Text Data Augmentation.

Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li

CoRR, 2023

Mask-guided BERT for Few Shot Text Classification.

Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Dajiang Zhu, Tianming Liu, Sheng Li, Xiang Li, Hongmin Cai

CoRR, 2023

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.

Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.

Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li

Proceedings of the Brain Informatics - 16th International Conference, 2023

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.

Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search.

Qing Li, Haixing Dai, Jinglei Lv, Lin Zhao, Zhengliang Liu, Zihao Wu, Xia Wu, Claire Coles, Xiaoping Hu, Tianming Liu, Dajiang Zhu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding.

Mengyue Zhou, Xu Liu, David Liu, Zihao Wu, Zhengliang Liu, Lin Zhao, Dajiang Zhu, Lei Guo, Junwei Han, Tianming Liu, Xintao Hu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain.

Xu Liu, Mengyue Zhou, Gaosheng Shi, Yu Du, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Xintao Hu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning.

Chong Ma, Lin Zhao, Yuzhong Chen, Lu Zhang, Zhenxiang Xiao, Haixing Dai, David Weizhong Liu, Zihao Wu, Zhengliang Liu, Sheng Wang, Jiaxing Gao, Changhe Li, Xi Jiang, Tuo Zhang, Qian Wang, Dinggang Shen, Dajiang Zhu, Tianming Liu

CoRR, 2022

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning.

Yuzhong Chen, Zhenxiang Xiao, Lin Zhao, Lu Zhang, Haixing Dai, David Weizhong Liu, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang

CoRR, 2022

Embedding Human Brain Function via Transformer.

Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Tuo Zhang, Dajiang Zhu, Tianming Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition.

Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition.

Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition.

Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022